DEVELOPER / AI RESEARCHER
AI & ML Engineer building intelligent systems that solve real-world problems. B.Tech in Computer Science (AI & ML) at UPES Dehradun.
From lifelike AI companions to LLM-powered interview platforms and edge-deployed vision systems, I operate at the intersection of research and production.
Automated pipeline to parse job descriptions and resumes, generate competency-based interview questions with adaptive follow-ups. Strict JSON grading with score, band, justification, and follow-up question storage. Integrity checks with eye-tracking (OpenCV) and AI-plagiarism detection.
Reduced interview preparation time by 70% and improved candidate evaluation consistency
Domain-adaptive Vision Transformer for brain tumor classification and segmentation. Achieved 98% test accuracy for 4-class tumor diagnosis. Dice Score of 0.87 and IoU of 0.78 for tumor segmentation masks. Built end-to-end pipeline from data prep to evaluation.
Research paper under review at IEEE. Cross-dataset validation on BRISC-2025 and BraTS
Retrieval-augmented assistant with multi-modal support for text, images (BLIP), and voice (Whisper STT + TTS). Built with GROQ Llama-3.3-70B for fast inference. Cloud-native architecture for scalability.
Deployed for internal team use with 95% user satisfaction. Sub-1s response time across all modalities
UPES Dehradun | CGPA 8.0 | 2022 - Present
IEEE Paper Under Review
Domain-adaptive Vision Transformer with LoRA for classification and segmentation. Cross-dataset validation on BRISC-2025 and BraTS.